BIG DATA AND MACHINE LEARNING FOR CHEMISTRY — 7-9 June 2021

Join our 3-day summer school to learn the concepts and tools of big data, automatization, and applications of artificial intelligence in chemistry. An overview of machine learning models will be covered through presentations and hands-on tutorials, and specific applications relevant to computational chemistry, catalysis, and high-throughput screening will be discussed. Lectures will be given from both theoretical and experimental perspectives and will target chemists and chemical engineers.

"Big Data” is providing access to information and knowledge in chemistry with a complexity, accuracy and speed previously unachievable. This creates new challenges for both experimental and theoretical chemists, who need to move beyond case-by-case analysis and be able to process a much larger amount of information in short periods of time. Artificial intelligence and machine learning offer a solution by providing means to navigate large and complex parameter spaces.



Organizing Committee

 

 

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NCCR Catalysis: sustainable chemistry for a carbon-neutral society          

 


Contact

For any additional information please send an email to the address below.

bdml4chem@epfl.ch